Instructions to use vdos/ce794c97-ab3d-4983-8fd9-ecb98ac48446 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/ce794c97-ab3d-4983-8fd9-ecb98ac48446 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "vdos/ce794c97-ab3d-4983-8fd9-ecb98ac48446") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from vdos/ce794c97-ab3d-4983-8fd9-ecb98ac48446: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
-
https://huggingface.co/vdos/ce794c97-ab3d-4983-8fd9-ecb98ac48446/resolve/3e4958c8eaea33bb88963428ad74e3a03e7fd72e/tokenizer.json
- Command line
-
hf download hf://vdos/ce794c97-ab3d-4983-8fd9-ecb98ac48446@3e4958c8eaea33bb88963428ad74e3a03e7fd72e/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/vdos/ce794c97-ab3d-4983-8fd9-ecb98ac48446/resolve/3e4958c8eaea33bb88963428ad74e3a03e7fd72e/tokenizer.json
3.62 MB
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